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Stable Diffusion API

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Stable Diffusion is a deep learning based, text-to-image model. It is primarily used to generate detailed images conditioned on text descriptions.
This Stable Diffusion model supports the ability to generate new images from scratch through the use of a text prompt describing elements to be included or omitted from the output.

Unlike models like DALL-E, Stable Diffusion makes its source code available.
Stable Diffusion was trained on pairs of images and captions taken from LAION-5B.
Please see the license terms here: https://raw.githubusercontent.com/CompVis/stable-diffusion/main/LICENSE



API Docs
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QUICK START API REQUEST 
curl \
    -F 'text=YOUR_TEXT_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/stable-diffusion
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Stable Diffusion API Documentation

Pricing: $5 per 100 API calls, or $5 per 500 for DeepAI Pro subscribers

API Options


grid_size
Pass a string, either "1" or "2"
Pass “1” to only receive 1 image in response.
With the default, 4 will be returned

width, height
Pass a string, eg "256" or "768" (default 512)
Use values between 128 and 1536.
Note: values above approximately 700 or below 256 may produce strange outputs.

negative_prompt
Pass a string to indicate what you want to be removed from the image
Can be used to enhance image quality and details.
Example negative prompts: bad anatomy,bad proportions, blurry, cloned face, cropped, deformed, dehydrated, disfigured, duplicate, error, extra arms, extra fingers, extra legs, extra limbs, fused fingers, gross proportions, jpeg artifacts, long neck, low quality, lowres, malformed limbs, missing arms, missing legs, morbid, mutated hands, mutation, mutilated, out of frame, poorly drawn face, poorly drawn hands, signature, text, too many fingers, ugly, username, watermark, worst quality.

Frequently Asked Questions

Is commercial use allowed?
Yes, all commercial use is allowed for the generated images.

You can use these images in general for any legal purpose you wish.

Please see our full terms of service here: Terms of Service

Can I use the generated images for NFT?
Yes.

Who owns the output?
The images are considered public domain, that is, they have no owner.

Copyright on output?
The images generated by the AI have no copyright.

Can I get higher resolution or higher quality images?
At this time we don't offer higher quality or higher resolution. What you see is what we have available, which will improve over time.

Is the quality of the images good enough for printing?
In general the quality is good enough for printing smaller images. Larger prints might become very blurry.

Stable Diffusion cURL Examples

 
# Example posting a text URL:

curl \
    -F 'text=YOUR_TEXT_URL' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/stable-diffusion 


# Example posting a local text file:

curl \
    -F 'text=@/path/to/your/file.txt' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/stable-diffusion 


# Example directly sending a text string:

curl \
    -F 'text=YOUR_TEXT_HERE' \
    -H 'api-key:YOUR_API_KEY' \
    https://api.deepai.org/api/stable-diffusion

Stable Diffusion Javascript Examples

 
// Get the 'deepai' package here (Compatible with browser & nodejs):
//     https://www.npmjs.com/package/deepai
// All examples use JS async-await syntax, be sure to call the API inside an async function.
//     Learn more about async-await here: https://javascript.info/async-await

// Example posting a text URL:

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("stable-diffusion", {
            text: "YOUR_TEXT_URL",
    });
    console.log(resp);
})()


// Example posting file picker input text (Browser only):

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("stable-diffusion", {
            text: document.getElementById('yourFileInputId'),
    });
    console.log(resp);
})()


// Example posting a local text file (Node.js only):
const fs = require('fs');

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("stable-diffusion", {
            text: fs.createReadStream("/path/to/your/file.txt"),
    });
    console.log(resp);
})()


// Example directly sending a text string:

const deepai = require('deepai'); // OR include deepai.min.js as a script tag in your HTML

deepai.setApiKey('YOUR_API_KEY');

(async function() {
    var resp = await deepai.callStandardApi("stable-diffusion", {
            text: "YOUR_TEXT_HERE",
    });
    console.log(resp);
})()

Stable Diffusion Python Examples

 
# Example posting a text URL:

import requests
r = requests.post(
    "https://api.deepai.org/api/stable-diffusion",
    data={
        'text': 'YOUR_TEXT_URL',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example posting a local text file:

import requests
r = requests.post(
    "https://api.deepai.org/api/stable-diffusion",
    files={
        'text': open('/path/to/your/file.txt', 'rb'),
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())


# Example directly sending a text string:

import requests
r = requests.post(
    "https://api.deepai.org/api/stable-diffusion",
    data={
        'text': 'YOUR_TEXT_HERE',
    },
    headers={'api-key': 'YOUR_API_KEY'}
)
print(r.json())

Stable Diffusion Ruby Examples

 
# Example posting a text URL:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/stable-diffusion', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_URL',
    }
)
puts r


# Example posting a local text file:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/stable-diffusion', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => File.new('/path/to/your/file.txt'),
    }
)
puts r


# Example directly sending a text string:

require 'rest_client'
r = RestClient::Request.execute(method: :post, url: 'https://api.deepai.org/api/stable-diffusion', timeout: 600,
    headers: {'api-key' => 'YOUR_API_KEY'},
    payload: {
        'text' => 'YOUR_TEXT_HERE',
    }
)
puts r

Stable Diffusion Csharp Examples

 
// Ensure your DeepAI.Client NuGet package is up to date: https://www.nuget.org/packages/DeepAI.Client
// Example posting a text URL:

using DeepAI; // Add this line to the top of your file

DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");

StandardApiResponse resp = api.callStandardApi("stable-diffusion", new {
        text = "YOUR_TEXT_URL",
});
Console.Write(api.objectAsJsonString(resp));


// Example posting a local text file:

using DeepAI; // Add this line to the top of your file

DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");

StandardApiResponse resp = api.callStandardApi("stable-diffusion", new {
        text = File.OpenRead("C:\\path\\to\\your\\file.txt"),
});
Console.Write(api.objectAsJsonString(resp));


// Example directly sending a text string:

using DeepAI; // Add this line to the top of your file

DeepAI_API api = new DeepAI_API(apiKey: "YOUR_API_KEY");

StandardApiResponse resp = api.callStandardApi("stable-diffusion", new {
        text = "YOUR_TEXT_HERE",
});
Console.Write(api.objectAsJsonString(resp));

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